Deep Red Lesion Classification for Early Screening of Diabetic Retinopathy

Diabetic retinopathy (DR) is an asymptotic and vision-threatening complication among working-age adults. To prevent blindness, a deep convolutional neural network (CNN) based diagnosis can help to classify less-discriminative and small-sized red lesions in early screening of DR patients. However, tr...

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書誌詳細

出版年:	Mathematics
主要な著者:	Muhammad Nadeem Ashraf, Muhammad Hussain, Zulfiqar Habib
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2022-02-01
主題:	computer-aided diagnosis diabetic retinopathy red lesions convolutional neural networks deep residual networks skip connections
オンライン･アクセス:	https://www.mdpi.com/2227-7390/10/5/686